ZhangYuanhan-AI / NOAH
[TPAMI] Searching prompt modules for parameter-efficient transfer learning.
☆225Updated last year
Alternatives and similar repositories for NOAH:
Users that are interested in NOAH are comparing it to the libraries listed below
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆175Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆273Updated 2 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆175Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆266Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆171Updated 11 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆154Updated last year
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆157Updated last year
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆256Updated 9 months ago
- Is synthetic data from generative models ready for image recognition?☆181Updated 2 years ago
- MixGen: A New Multi-Modal Data Augmentation☆120Updated 2 years ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆110Updated 2 years ago
- ☆179Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆103Updated last year
- ☆104Updated 11 months ago
- ☆164Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆204Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆163Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆100Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆97Updated last year
- ☆59Updated 3 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆122Updated 6 months ago
- Toolkit for Elevater Benchmark☆70Updated last year
- ☆271Updated 2 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 2 years ago
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆305Updated last year
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆144Updated 2 years ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆231Updated last year
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆211Updated 2 years ago
- ☆114Updated 8 months ago